Compute Caps Proposed as Main Lever to Slow Frontier AI

An analysis of AI 2040’s regulatory logic identifies compute caps as the most effective and practically manageable lever for controlling the pace of AI capability improvements. It links that approach to chip controls and slowing data-center construction.

Under the proposed model, systems would receive additional compute after demonstrating a defined level of capability. The preferred path is for models to improve mainly through controlled hardware additions rather than unknown algorithmic breakthroughs in secret projects. It remains unclear how allowable compute levels would be set for particular models and organizations.